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unsupervised_depth_estimation's Issues

Unknown layer type: Warping

I got the latest version caffe and set WITH_PYTHON_LAYER := 1 in makefile.config. However, I still get the following error:

===

F0325 16:49:50.756420 6840 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Warping (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Clip, Concat, ContrastiveLoss, Convolution, Crop, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, Input, LRN, LSTM, LSTMUnit, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Parameter, Pooling, Power, Python, RNN, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, Swish, TanH, Threshold, Tile, WindowData)

===
Is there anything I missed?

Load matlab network

Hello, I'm trying to load a traiend network and use it to depth estimation, however the file train_iter_40000.caffemodel requires a .prototxt' to be imported in matlab using importCaffeNetwork. I tried with the .prototxt files such as resnet50.prototxt, but it says Check if your network contains layers which are not defined in caffe.proto..
Thanjs for your help.

Prediction result recovery

Hi,

I downloaded your prediction result mat, but I can not recover it correctly. I got a 142x697 image from predictions in mat. I plot it our but it's quite weird. All the images look like this example:
test

Is there anything I have to do before I save the data to png?

where do you get the camera`s focal?

i see the 'KITTI_vis_test_seq.m' that you offered in the program, you seem to set (focal f * distance B) equals to 389.6304,i know the B is 0.54 meter in the kitti dataset paper, but how/where do you get the camera`s focal f?

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